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  • 1
    Online Resource
    Online Resource
    Informa UK Limited ; 2021
    In:  Journal of the American Statistical Association Vol. 116, No. 534 ( 2021-04-03), p. 481-491
    In: Journal of the American Statistical Association, Informa UK Limited, Vol. 116, No. 534 ( 2021-04-03), p. 481-491
    Type of Medium: Online Resource
    ISSN: 0162-1459 , 1537-274X
    RVK:
    RVK:
    Language: English
    Publisher: Informa UK Limited
    Publication Date: 2021
    detail.hit.zdb_id: 2064981-2
    detail.hit.zdb_id: 207602-0
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  • 2
    Online Resource
    Online Resource
    Institute for Operations Research and the Management Sciences (INFORMS) ; 2023
    In:  Management Science
    In: Management Science, Institute for Operations Research and the Management Sciences (INFORMS)
    Abstract: In this paper, we evaluate the economic value of a blockchain application. In the context of asset-backed securities (ABS) issuance in China, where some ABS are issued with blockchain technology and others are not, we find that the use of blockchain significantly reduces the coupon yield at issuance. Compared with other ABS, those issued using blockchain technology experience a decrease of 31.4 basis points in the yield spread, which corresponds to a relative decrease of 13%. We further document that the effect of blockchain is more pronounced for ABS deals rated by less reputable credit rating agencies and agencies that rely more on issuers for their rating business, for revolving ABS, and for ABS with a larger number of underlying assets. We also find that the use of blockchain can reduce the level of retained interest and number of credit enhancement mechanisms. This paper contributes to the literature by providing a small-sample analysis of the economic value of a blockchain application in financial markets. This paper was accepted by Brian Bushee, accounting. Funding: X. Chen and Q. Cheng acknowledge funding provided by the Lee Kong Chian Professorship at Singapore Management University. This work was supported by Singapore Ministry of Education [Grant MOE-T2EP40120-0005]. Supplemental Material: Data are available at https://doi.org/10.1287/mnsc.2023.4671 .
    Type of Medium: Online Resource
    ISSN: 0025-1909 , 1526-5501
    RVK:
    Language: English
    Publisher: Institute for Operations Research and the Management Sciences (INFORMS)
    Publication Date: 2023
    detail.hit.zdb_id: 206345-1
    detail.hit.zdb_id: 2023019-9
    SSG: 3,2
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  • 3
    Online Resource
    Online Resource
    SAGE Publications ; 2016
    In:  Journal of Marketing Vol. 80, No. 3 ( 2016-05), p. 79-95
    In: Journal of Marketing, SAGE Publications, Vol. 80, No. 3 ( 2016-05), p. 79-95
    Abstract: When product recalls occur, companies provide corrective or compensation measures to consumers for the defective products they have purchased. These remedies directly affect consumers and the effectiveness of recall. This article examines the determinants of remedy choices with a theoretical framework rooted in the basic trade-off between remedy cost and consumer harm. In addition to recall and company characteristics, the authors also consider the impact of the CEO's personal incentives. Using recalls issued by the U.S. Consumer Product Safety Commission, the authors find that companies prefer to avoid full remedy when remedy cost is high, yet they are more likely to provide full remedy for more severe product hazards. The results show that CEOs’ personal interests interfere with remedy decisions: full remedy is less likely when the CEO receives greater cash compensation or less equity incentive, and when the CEO has longer tenure in the position. Importantly, the CEO's financial interests further moderate the effects of remedy cost and consumer harm. The findings have important implications for recall strategy, consumer welfare, public policy, and leadership ethics.
    Type of Medium: Online Resource
    ISSN: 0022-2429 , 1547-7185
    RVK:
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2016
    detail.hit.zdb_id: 2052318-X
    detail.hit.zdb_id: 218318-3
    SSG: 3,2
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  • 4
    Online Resource
    Online Resource
    Institute for Operations Research and the Management Sciences (INFORMS) ; 2020
    In:  Manufacturing & Service Operations Management Vol. 22, No. 2 ( 2020-03), p. 310-329
    In: Manufacturing & Service Operations Management, Institute for Operations Research and the Management Sciences (INFORMS), Vol. 22, No. 2 ( 2020-03), p. 310-329
    Abstract: Network operations often suffer from chronic asset imbalance over time and across locations. This paper addresses the issue in the intermodal industry. The problem is mainly driven by myopic policies, environmental uncertainty, and network interdependence. To address the problem, we develop a unified framework that integrates two core operations: container repositioning and load acceptance. The central piece is the scarcity pricing scheme, which internalizes the externalities each acceptance imposes over time and across locations. The scheme plays two crucial roles: to transmit dynamic scarcity information and to incentivize container repositioning. It is most effective when network imbalance and supply risk are high. Exploiting random capacity and heterogeneous lead time, we further refine the load acceptance policy and develop efficient algorithms. We demonstrate that our approach can dynamically reduce network imbalance and improve efficiency. As such, our work provides analytical tools and insights on how to manage network capacity, when the information is dispersed and evolving over time.
    Type of Medium: Online Resource
    ISSN: 1523-4614 , 1526-5498
    RVK:
    Language: English
    Publisher: Institute for Operations Research and the Management Sciences (INFORMS)
    Publication Date: 2020
    detail.hit.zdb_id: 2023273-1
    SSG: 3,2
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  • 5
    Online Resource
    Online Resource
    Hindawi Limited ; 2020
    In:  Mobile Information Systems Vol. 2020 ( 2020-01-06), p. 1-8
    In: Mobile Information Systems, Hindawi Limited, Vol. 2020 ( 2020-01-06), p. 1-8
    Abstract: As a lightweight deep neural network, MobileNet has fewer parameters and higher classification accuracy. In order to further reduce the number of network parameters and improve the classification accuracy, dense blocks that are proposed in DenseNets are introduced into MobileNet. In Dense-MobileNet models, convolution layers with the same size of input feature maps in MobileNet models are taken as dense blocks, and dense connections are carried out within the dense blocks. The new network structure can make full use of the output feature maps generated by the previous convolution layers in dense blocks, so as to generate a large number of feature maps with fewer convolution cores and repeatedly use the features. By setting a small growth rate, the network further reduces the parameters and the computation cost. Two Dense-MobileNet models, Dense1-MobileNet and Dense2-MobileNet, are designed. Experiments show that Dense2-MobileNet can achieve higher recognition accuracy than MobileNet, while only with fewer parameters and computation cost.
    Type of Medium: Online Resource
    ISSN: 1574-017X , 1875-905X
    RVK:
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2020
    detail.hit.zdb_id: 2187808-0
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  • 6
    Online Resource
    Online Resource
    SAGE Publications ; 2017
    In:  Production and Operations Management Vol. 26, No. 7 ( 2017-07), p. 1399-1415
    In: Production and Operations Management, SAGE Publications, Vol. 26, No. 7 ( 2017-07), p. 1399-1415
    Abstract: We examine the critical role of advance supply signals—such as suppliers’ financial health and production viability—in dynamic supply risk management. The firm operates an inventory system with multiple demand classes and multiple suppliers. The sales are discretionary and the suppliers are susceptible to both systematic and operational risks. We develop a hierarchical Markov model that captures the essential features of advance supply signals, and integrate it with procurement and selling decisions. We characterize the optimal procurement and selling policy, and the strategic relationship between signal‐based forecast, multi‐sourcing, and discretionary selling. We show that higher demand heterogeneity may reduce the value of discretionary selling, and that the mean value‐based forecast may outperform the stationary distribution‐based forecast. This work advances our understanding on when and how to use advance supply signals in dynamic risk management. Future supply risk erodes profitability but enhances the marginal value of current inventory. A signal of future supply shortage raises both base stock and demand rationing levels, thereby boosting the current production and tightening the current sales. Signal‐based dynamic forecast effectively guides the firm's procurement and selling decisions. Its value critically depends on supply volatility and scarcity. Ignoring advance supply signals can result in misleading recommendations and severe losses. Signal‐based dynamic supply forecast should be used when: (a) supply uncertainty is substantial, (b) supply‐demand ratio is moderate, (c) forecast precision is high, and (d) supplier heterogeneity is high.
    Type of Medium: Online Resource
    ISSN: 1059-1478 , 1937-5956
    RVK:
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2017
    detail.hit.zdb_id: 2151364-8
    detail.hit.zdb_id: 1108460-1
    SSG: 3,2
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  • 7
    Online Resource
    Online Resource
    SAGE Publications ; 2016
    In:  Production and Operations Management Vol. 25, No. 10 ( 2016-10), p. 1658-1672
    In: Production and Operations Management, SAGE Publications, Vol. 25, No. 10 ( 2016-10), p. 1658-1672
    Abstract: We study a joint capacity leasing and demand acceptance problem in intermodal transportation. The model features multiple sources of evolving supply and demand, and endogenizes the interplay of three levers—forecasting, leasing, and demand acceptance. We characterize the optimal policy, and show how dynamic forecasting coordinates leasing and acceptance. We find (i) the value of dynamic forecasting depends critically on scarcity, stochasticity, and volatility; (ii) traditional mean‐value equivalence approach performs poorly in volatile intermodal context; (iii) mean‐value‐based forecast may outperform stationary distribution‐based forecast. Our work enriches revenue management models and applications. It advances our understanding on when and how to use dynamic forecasting in intermodal revenue management.
    Type of Medium: Online Resource
    ISSN: 1059-1478 , 1937-5956
    RVK:
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2016
    detail.hit.zdb_id: 2151364-8
    detail.hit.zdb_id: 1108460-1
    SSG: 3,2
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